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Winarsih, Sri
- Non-targeted Screening with Lc-hrms and In-silico Study on Diabetic Activity of Ethyl Acetate Extract of Sanrego (Lunasia Amara Blanco)
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Authors
Affiliations
1 Doctoral Program of Medical Science, Faculty of Medicine, Universitas Brawijaya, Malang,, ID
2 Department of Microbiology, Faculty of Medicine, Universitas Brawijaya, Malang,, ID
3 Departmen of Biology, Faculty of Mathematics and Science Universitas Brawijaya, Malang,, ID
4 Department of Pharmacy, Faculty of Medicine, Universitas Brawijaya, Malang,, ID
1 Doctoral Program of Medical Science, Faculty of Medicine, Universitas Brawijaya, Malang,, ID
2 Department of Microbiology, Faculty of Medicine, Universitas Brawijaya, Malang,, ID
3 Departmen of Biology, Faculty of Mathematics and Science Universitas Brawijaya, Malang,, ID
4 Department of Pharmacy, Faculty of Medicine, Universitas Brawijaya, Malang,, ID
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Research Journal of Pharmacy and Technology, Vol 15, No 3 (2022), Pagination: 1077-1084Abstract
Indonesian have long empirical use of the Sanrego plant (Lunasia amara Blanco) as antidiabetic, but the active compounds of Sanrego that acts as antidiabetic is not yet known. This study aimed to know the active compound from the ethyl acetate extract (EEA) of Sanrego stems and leaves and predict its ability as an anti- diabetic by in-silico. The dried leaves and stems of Sanrego were grounded into powder and extracted using ethyl acetate. The active compounds were detected using thin-layer chromatography (TLC) and Liquid chromatography high-resolution mass spectrometry (LC-HRMS). Anti-diabetic activity was predicted by molecular docking approach compared to acarbose and vildagliptin. The TLC results showed that Sanrego EEA contained alkaloid and flavonoid compounds include scopoletin. The LC-HRMS results showed 11 active compounds in EEA and all of them had anti-diabetic activity. The detected main compounds were hesperidin, scopoletin, tangeritin, and trigonelline. Based on the results of molecular docking, the four compounds showed anti-diabetic activity through α-glucosidase inhibition and dipeptidyl peptides- 4 (DPP-4) inhibition. Hesperidin has the highest energy affinity as an α-glucosidase inhibitor (-7.4) and DPP4 inhibitor (-9.8), followed by tangeritin, scopoletin, and trigonelline. This study concluded that the EEA of Sanrego contains hesperidin, tangeritin, scopoletin, and trigonelline which has anti-diabetic activity through α-glucosidase inhibition and DPP4 inhibition.Keywords
Sanrego, α-Glucosidase, LC-HRMS, Hesperidin, Scopoletin.
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- Multi Epitopes Potential on Surface Sars-cov-2 Protein as a Covid-19 Vaccine Candidate
Abstract Views :151 |
PDF Views:0
Authors
Khoirul Anam
1,
Bobi Prabowo
2,
Meike Tiya Kusuma
3,
Yuliati
3,
Sri Winarsih
4,
Tri Yudani Mardining Raras
5,
Sumarno Reto Prawiro
4
Affiliations
1 Doctoral Program in Medical Science, Faculty of Medicine, Universitas Brawijaya, Malang, ID
2 Department of Emergency Medicine, Dr. Iskak General Hospital, Tulungagung, ID
3 Master Program in Biomedical Science, Faculty of Medicine, Universitas Brawijaya. Malang, ID
4 Department of Clinical Microbiology, Faculty of Medicine, Universitas Brawijaya. Malang, ID
5 Department of Biochemistry and Molecular Biology, Faculty of Medicine, Universitas Brawijaya Malang, ID
1 Doctoral Program in Medical Science, Faculty of Medicine, Universitas Brawijaya, Malang, ID
2 Department of Emergency Medicine, Dr. Iskak General Hospital, Tulungagung, ID
3 Master Program in Biomedical Science, Faculty of Medicine, Universitas Brawijaya. Malang, ID
4 Department of Clinical Microbiology, Faculty of Medicine, Universitas Brawijaya. Malang, ID
5 Department of Biochemistry and Molecular Biology, Faculty of Medicine, Universitas Brawijaya Malang, ID
Source
Research Journal of Pharmacy and Technology, Vol 15, No 4 (2022), Pagination: 1437-1442Abstract
Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the etiology of an outbreak Covid-19. SARS-CoV-2 has a structural part consisting of spike glycoprotein, nucleoprotein N, membrane M and envelopes small membrane pentamer E. Immunoinformatic approach epitope analysis is developed to identify both weak and robust epitopes. Our study aims to identify several epitopes present in the spike glycoprotein, envelope, and membrane protein from the SARCoV-2 surface, with the help of insilico approach that highly potential as vaccine candidates. Analysis of antigeninicity was performed with the Kolaskar and Tongaonkar Antigenicity software. Epitope Mapping was analyzed using Linear Epitope Prediction Bepired. The structure of proteins with epitope regions was visualized by software Pyrex and PyMOL. Conserve analysis was performed using bio edit software. HLA mimicry was analyzed through HLAPred software. Molecular docking between the epitope with HLA I and HLA II was validated by Chimera and PyMOL software. The toxicity test for candidate vaccine peptides was carried out using ToxinPred software. Our study found seven potential epitope candidates as vaccine candidates. The seven epitopes were derived from spike proteins (5 epitopes), envelope proteins (1 epitope), and membrane proteins (1 epitope). All epitope codes are conserved and are not the same as HLA in Humans. The docking test results show a value with low affinity so that a strong bond can provide a high immune response. Toxicity tests show that all epitopes are non-toxic and safe to use as vaccine ingredients. Seven peptides from the spike, envelope, membrane protein that showed potential as vaccine candidates against Covid-19.Keywords
Immunoinformatic, Surface protein, Epitope, Covid-19, Vaccine candidate.References
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